mmlw-retrieval-roberta-large is a large RoBERTa model fine-tuned specifically for multilingual retrieval and semantic similarity tasks. It produces high-quality embeddings suitable for information retrieval, duplicate detection, and clustering across many languages. The model is publicly hosted on Hugging Face and supports standard sentence-transformers usage patterns.
Mmlw Retrieval Roberta Large is a Foundation models & chat product. It focuses on retrieving relevant documents and computing semantic similarity across multiple languages. It is built as an open-source project for developers. Mmlw Retrieval Roberta Large is open source under the Open Source license. The product ships for the web and API.
sdadas builds and maintains Mmlw Retrieval Roberta Large, and the product first shipped in 2023. Key capabilities include sentence similarity, multilingual retrieval, and embedding generation.
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